58                            float* outputData, const Shape& outputShape) {  in fullyConnectedFloat32()  argument
65     uint32_t batch_size = getSizeOfDimension(outputShape, 0);  in fullyConnectedFloat32()
73                                               outputData, convertShapeToDims(outputShape));  in fullyConnectedFloat32()
80                                               outputData, convertShapeToDims(outputShape));  in fullyConnectedFloat32()
88                            _Float16* outputData, const Shape& outputShape) {  in fullyConnectedFloat16()  argument
97     std::vector<float> outputDataFloat32(getNumberOfElements(outputShape));  in fullyConnectedFloat16()
100                           outputDataFloat32.data(), outputShape);  in fullyConnectedFloat16()
109                           uint8_t* outputData, const Shape& outputShape) {  in fullyConnectedQuant8()  argument
113     int32_t outputOffset = outputShape.offset;  in fullyConnectedQuant8()
121     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, weightsShape, biasShape, outputShape,  in fullyConnectedQuant8()
126     CalculateActivationRangeUint8(activation, outputShape, &outputActivationMin,  in fullyConnectedQuant8()
142                                           convertShapeToDims(outputShape), &gemmContext);  in fullyConnectedQuant8()
150                           int8_t* outputData, const Shape& outputShape) {  in fullyConnectedQuant8()  argument
159     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, weightsShape, biasShape, outputShape,  in fullyConnectedQuant8()
162     CalculateActivationRangeInt8(activation, outputShape, &outputActivationMin,  in fullyConnectedQuant8()
168     params.output_offset = outputShape.offset;  in fullyConnectedQuant8()
178             biasData, convertShapeToTflshape(outputShape), outputData);  in fullyConnectedQuant8()